编队运行中多车通信故障影响及其数据弥补研究
A Study on the Effects of Multi-Vehicle Communication Failures and Their Data Compensation in Platooning Operation
DOI: 10.12677/CSA.2023.1312226, PDF,    国家自然科学基金支持
作者: 蒙睿捷, 李志鹏：同济大学信息与通信工程系信息处理与智能交通系统实验室，上海
关键词: 智能网联车队列；跟驰模型；多车通信故障；数据弥补；Connected and Automated Vehicle Platoon； Car-Following Model； Multi-Vehicle Communication Failure； Data Compensation
摘要: 智能网联车编队运行以其特有的安全、高效和节能等优势，在智能交通领域受到广泛关注。然而，该技术应用极度依赖良好的车–车通信条件，偶发或连片的通信故障将大大影响编队运行的动态性能，严重情况甚至危及车辆行驶安全。本文主要聚焦于编队运行过程中，连续多车通信故障引发的队列行驶控制数据缺失问题，分别提出了单数据源、双数据源和多数据源的数据弥补策略。进一步地，本文从车辆跟随性、燃油经济性和驾驶舒适性三个方面对比了所提数据弥补策略在不同故障窗口大小情况下编队运行的性能维持效应。仿真结果表明，三种数据弥补策略均能极大缓解由于连续多车通信故障引起的编队运行性能下降，维持良好的车辆编队运行特性。此外，对比实验还发现，因单数据源的弥补策略所选取的交通状态数据最接近故障车的状态数据，所以单数据源的弥补策略在维持队列原有良好性能上具有最佳效果，可为将来编队运行控制数据的弥补提供参考。
Abstract: Connected and automated vehicle platooning operation technology has received widespread atten-tion in the field of intelligent transportation due to its unique advantages of safety, high efficiency, and energy savings. However, the deployment of this technology is extremely dependent on strong vehicle-vehicle communication conditions. Occasional or consecutive communication failures will have a significant impact on the dynamic performance of platooning operations, and in serious cases, may jeopardize vehicle safety. This paper focuses on the problem of platoon traveling control data loss caused by consecutive multi-vehicle communication failures and proposes data compensation strategies for single, double, and multiple data sources, respectively. Furthermore, this research examines the performance maintenance impacts of the proposed data compensation strategies for platooning operations under varied fault window sizes in terms of vehicle following, fuel efficiency, and driving comfort. The simulation results demonstrate that the three data compensation strategies can significantly alleviate platooning operation performance deterioration caused by re-peated multi-vehicle communication failures while still maintaining strong vehicle formation operation features. Furthermore, the comparison experiments discovered that the single data source compensation strategy has the best effect in preserving the platoon’s original excellent performance because the traffic state data selected by the single data source compensation strategy is the closest to the state data of the faulty CAVs, which can be used as a reference for future compensation of the platooning operation control data.
文章引用：蒙睿捷, 李志鹏. 编队运行中多车通信故障影响及其数据弥补研究[J]. 计算机科学与应用, 2023, 13(12): 2253-2267. https://doi.org/10.12677/CSA.2023.1312226

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